Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BETTINI Paolo | 58 |
| 2 | ZABEL Erik | 69 |
| 3 | HUSHOVD Thor | 83 |
| 5 | REBELLIN Davide | 63 |
| 6 | ROJAS José Joaquín | 70 |
| 7 | GARZELLI Stefano | 62 |
| 8 | BALLAN Alessandro | 73 |
| 9 | MAZZANTI Luca | 64 |
| 10 | PRIAMO Matteo | 72 |
| 11 | RICCÒ Riccardo | 57 |
| 12 | SIMEONI Filippo | 68 |
| 13 | FREIRE Óscar | 63 |
| 14 | FACCI Mauro | 68 |